Jobs Available at CHEP

What You’ll Do:

• Combine math and statistics, specialised programming, advanced analytics, artificial intelligence (AI), and machine learning with specific subject matter expertise to uncover actionable insights.
• Leads on experimentation with and implementation of new data science techniques on internal/external customer projects.
• Apply advanced knowledge of Continuous Integration/Continuous Deployment methodologies to deploying and maintaining Machine Learning models reliably and efficiently in Production.
• Communicate project status, methods, obstacles, and results to wider technical teams and business stakeholders.
• Managing a small team of data scientists (2) across multiple time zones
• Lead data science team discussions, providing insight as needed on current approaches and methods

What will ensure your success in the Role:

• Degree in Data Science, Computer Science, Engineering, Science, Information Systems and/or equivalent formal training plus work experience
• Proficient with machine learning models (Supervised; unsupervised; reinforcement) including the productionisation thereof.
• Proficient with coding in Python, PySpark
• Proficient with designing and building AI Systems (Decision Intelligence)
• Extensive experience working with the Databricks Data Intelligence Platform
• Proficient in researching, developing, synthesizing new algorithms and techniques.
• Excellent communication skills
• Extensive experience working in large international corporations.
• Participated in numerous data science projects.
• Utilized several data science methodologies.
• Have worked autonomously and delivered results on schedule.
• Have presented results to non-data scientist audience.
• Experience working under different project management frameworks (Waterfall; Agile)
• Mathematics and Statistics for Data Science

Preferred Education

• Bachelors

Preferred Level of Work Experience

• 7 - 10 years

go to method of application »

What You’ll Do: 

• Lead and mentor a team of Insight Analysts, fostering their growth and development.
• Collaborate with cross-functional teams to understand analytical needs and provide valuable insights.
• Utilize advanced analytics techniques to extract insights from diverse data sources.
• Create visually compelling and interactive data visualizations using industry-leading tools.
• Ensure data accuracy, integrity, and consistency in all analyses and visualizations.
• Conduct training sessions and workshops to share best practices in data analysis and visualization.
• Apply complex mathematical and statistical methodologies to support solution delivery and decision-making.
• Employ creative problem-solving and design thinking to develop innovative solutions.
• Implement quality control measures to maintain data integrity.
• Develop compelling, data-driven narratives to inform and influence decision-making.
• Produce and maintain clear, concise technical documentation.
• Foster a culture of mentorship and continuous learning within the team.
• Manage stakeholder relationships and communicate technical capabilities effectively.
• Align team efforts with the strategic roadmap to maximize business value.
• Lead thought leadership initiatives and represent the team within and outside the organization.
• Design, develop, and implement robust business analytics solutions using SQL, DAX, and Python.
• Build and manage data pipelines, ensuring best practices for data modeling and data quality.
• Write advanced SQL and DAX queries, and implement solutions to automate processes.
• Manage and interrogate complex datasets using ThoughtSpot to support business intelligence solutions.

What will ensure your success in the Role: 

• Educational Background: Relevant tertiary qualifications in Commerce, Mathematics, Statistics, Computer Science, or related fields.
• Extensive Experience: Proven track record in data analytics projects, with a background in data visualization and hypothesis testing.

Technical Proficiency:

• Expertise in data analysis tools and techniques, including Power BI, Power Apps, Power Automate, SQL, DAX, and Python.
• Proficiency in workplace tools such as Jira Align, Lucid, Zephyr Scale, and Confluence.
• Experience in UI design using tools like Figma.
• Analytical and Problem-Solving Skills: Ability to apply complex methodologies to solve problems and support decision-making.
• Leadership and Mentorship: Proven experience in leading and developing small teams, with a focus on capability development.
• Communication Skills: Exceptional verbal and written communication skills to translate complex data into clear, actionable insights.
• Innovation and Curiosity: A creative and curious mindset, always seeking to improve and innovate in data analysis and visualization.
• Agile Mindset: Experience working within agile delivery teams and guiding others in adopting agile methodologies.
• Quality Control: Knowledge of quality management techniques to ensure data accuracy and integrity.
• Storytelling: Mastery in developing compelling data-driven narratives.
• Technical Documentation: Ability to produce and maintain impactful technical documentation.
• Stakeholder Management: Effective communicator and influencer with senior leadership.
• Strategic Thinking: Ability to align work with the overall business strategy.
• Thought Leadership: Active in research and development of innovative ideas.

go to method of application »

What You’ll Do:

• Leadership and Strategy: Oversees the construction and maintenance of highly scalable, robust and fault-tolerant data management and processing systems. Sets the strategic direction for the data engineering team in alignment with organizational goals.
• Data Models and Architecture: Directs the team in creating and optimizing complex data models that serve as the backbone for data as a product. Sets architectural guidelines to ensure these data models meet all business requirements, reduce system complexity and are aligned with data governance policies.
• Data as a Product: Ensures that the data generated or processed is of high quality, secure and reliable enough to be considered a stand-alone product. Focuses on data usability and prepares data for analytical and operational uses, thereby creating value for business units and clients.
• ETL and Data Acquisition: Manages and directs the ETL (Extract, Transform & Load) processes,
• identifies new opportunities for data acquisition and ensures that data pipelines are secure, efficient and aligned with governance policies.
• Cost Optimization and Efficiency: Continuously reviews system efficiency and resource utilization to identify areas for cost optimization while maintaining or improving data quality and security.
• Data Security and Governance: Implements and enforces stringent data governance and security protocols, ensuring compliance with organizational and regulatory standards.
• Disaster Recovery: Manages the planning and implementation of Disaster Recovery plans and protocols, ensuring rapid data recovery while minimizing loss in the event of a failure.
• Team Development: Mentors, trains and develops team members to foster a community of data
• engineering experts who follow best practices, contribute to innovation and uphold data integrity and security.
• Cross-Functional Collaboration: Works closely with stakeholders, including product managers, business units and other technical teams, to ensure that the data engineering efforts are aligned with broader organizational goals and projects.
• Audit and Compliance: Regularly conducts audits to ensure data integrity, security and governance and coordinates with compliance teams to address any gaps or vulnerabilities.

What will ensure your success in the Role:

• Educational Background: Relevant tertiary qualifications in Computer Science, Statistics, or related technical fields.
• Extensive Experience: Proven track record in Data Modelling and Data Engineering.

Technical Proficiency:

• Expertise in data-related tools and technologies such as SQL, VBA, Python, R, Hadoop, Hive, Spark, Tableau, QlikView, and Power BI.
• Advanced SQL knowledge and experience with relational databases and query authoring.
• Familiarity with cloud technologies (AWS S3, RedShift) and integration tools (SSIS, AWS Glue, PySpark).
• Data modeling skills in SQL Server Analysis Services and Power BI.
• Analytical Skills: Ability to understand business problems and frame them into a data-driven environment.
• Data Architecture Knowledge: Understanding of data architecture, engineering methodologies, and best practices.
• Communication Skills: Excellent written and verbal skills to convey complex technical information to both technical and non-technical stakeholders.
• Problem-Solving Abilities: Strong analytical skills to tackle complex problems and lead a team in implementing solutions.
• Collaboration and Teamwork: Ability to work cohesively with colleagues and stakeholders, utilizing tools like JIRA, Lucid, and Zephyr Scale.
• Leadership and Mentorship: Experience in mentoring and developing team members, and presenting results to senior stakeholders.

Preferred Education

• Bachelors

Preferred Level of Work Experience

• 7 - 10 years